Data Science Jobs in Canada
There are 495 open Data Science jobs in Canada on freehire right now. 186 of them were posted recently. The skills employers ask for most often are python, data-science and machine-learning.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| CAD | year | CA$115,000 | CA$140,000 | CA$157,771 | 92 |
| USD | year | $141,900 | $178,000 | $199,000 | 25 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- python 79%
- data-science 79%
- machine-learning 78%
- ai 74%
- analytics 66%
- sql 63%
- statistics 45%
- cloud 42%
How the work is done
- Remote 86 · 17%
- Hybrid 85 · 17%
- Onsite 3 · 1%
Visa sponsorship offered in 52% of the 63 postings that state a position on it.
Seniority
- Senior 143
- Lead 49
- Staff 29
- Principal 16
- Intern 12
- C-level 7
Who is hiring
- 1000+ employees 167
- 501-1000 employees 48
- 201-500 employees 8
- 51-200 employees 8
- 11-50 employees 4
Manager, Cards Credit Strategy and Data Science
Lead RBC's Cards Account Management team, developing credit strategies using advanced analytics, SQL, Python, and data visualization to optimize the retail credit card portfolio's profitability while managing a team of credit analysts.
Senior Data Scientist, Fraud Applied AI and Innovation
Applies machine learning and AI to develop fraud detection models, automate workflows, and collaborate with stakeholders; uses Python, SQL, and ML frameworks.
Data Scientist — AI-Driven Growth & Customer Insights
Data Scientist developing and deploying ML models to improve customer acquisition, retention, and business performance using AI, ML, data mining, and analytics to build scalable data products focused on customer experience and growth.
Senior Data Scientist
Lead AI and data science projects for a large insurer, building ML and generative AI solutions to drive business insights and strategic decisions while mentoring junior team members.
Data Scientist, Data Science and Artificial Intelligence (Temporary - 18 months)
Data Scientist on a 10-person Alpha Science team at a large Canadian pension fund, building data pipelines and ML models in Python and SQL to generate investment insights across asset classes.
Data scientist
Build and improve classical ML models for anomaly detection and classification in physical measurement data using Python and scikit-learn.
Data Scientist
Data Scientist at Cogeco Connexion developing predictive modeling and machine learning solutions for business problems, working with Python, SQL, and cloud platforms to improve customer acquisition, retention, and business performance.
Data Scientist (Askuity division)
Build and deploy ML models and GenAI tools to turn retail data into actionable insights for suppliers and merchants using Python, GCP, and MLOps.
Senior Data Scientist
Senior Data Scientist building end-to-end production decision systems—forecasting, optimization, pricing, and batch/real-time recommendations—using Python, PyTorch/TensorFlow, and SQL at a lottery and sports-betting company in Toronto.
Data Scientist, Fraud
Build and improve fraud-detection models for Stripe’s global payments platform using ML, stats, and causal inference, then ship them to production with engineering partners.
Data Scientist, Link
Build ML models and run experiments to optimize Stripe’s Link checkout, local payment methods, and consumer features like an AI wallet.
Senior Manager, Data Science & Analytics
About Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. powers automated communication that people…
Director, AI & Data Science (Marketing Measurement & Effectiveness)
Leads AI-driven marketing measurement and effectiveness initiatives, designing attribution models, experimentation frameworks, and GenAI applications to optimize campaigns, validate model outputs, and guide budget decisions for executives.
Director, AI & Data Science (Marketing Measurement & Effectiveness)
Leads AI-driven marketing measurement and effectiveness, designing statistical models, deploying GenAI tools, and optimizing media spend while managing cross-functional teams and technical execution.